L-GATOR: Genetic Association Testing for a Longitudinally Measured Quantitative Trait in Samples with Related Individuals

• Published in: American journal of human genetics Vol. 102; no. 4; pp. 574 - 591
• Main Authors: Wu, Xiaowei, McPeek, Mary Sara
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 05.04.2018; Elsevier
• Subjects: association mapping; Blood Pressure - genetics; Cohort Studies; Female; Framingham; Genome-Wide Association Study; GWAS; Humans; linear mixed model; longitudinal; Male; missing genotypes; mixed effects model; Models, Genetic; pedigree; Phenotype; Quantitative Trait Loci - genetics; relatives; Software; Systole - genetics; systolic blood pressure; pedigree; missing genotypes; GWAS; association mapping; Framingham; longitudinal; linear mixed model; relatives; systolic blood pressure; mixed effects model

In complex-trait mapping, when each subject has multiple measurements of a quantitative trait over time, power for detecting genetic association can be gained by the inclusion of all measurements and not just single time points or averages in the analysis. To increase power and control type 1 error,...